Rerun - The easiest way to build AI agents for all your tasks

Most AI agents are black boxes. Rerun isn't. Build no-code agents that run 24/7, chasing invoices, qualifying leads, clearing your inbox, and watch every step in real time. They pause for approval before anything sensitive. Each workspace gets its own private server. Start with the included model, or connect your own API key or subscription

Add a comment

Replies

Best
Hey Product Hunt 👋 I'm Clément, founder of Rerun. We built Rerun because every "AI agent" tool felt like a black box. You fire it off and just hope it did the right thing. We wanted agents you could actually watch work, step by step, that pause before doing anything sensitive. Rerun lets you build no-code AI agents that run 24/7 (chasing invoices, qualifying leads, clearing your inbox), connected to the tools you already use. Live dashboards show every run, token, and decision. Each workspace gets its own private server, no shared tenancy. We'll be here all day. We'd genuinely love your feedback, questions, and ideas on what to automate next.

 Curious about the failure mode more than the happy path. When we automated recurring ops work internally the problem was never building the thing, it was the agent quietly doing it wrong for three weeks before anyone noticed. What does Rerun surface when a run half-succeeds, and can I set a rule like "stop and ask me" on specific steps?

 Totally agree with you Artem

Rerun gives tools to really understand the agent and stay in control

The agent has some handy features, like notifying the user and asking for approval before moving to the next step. Super useful for stuff like publishing an article or a LinkedIn post

We also built super detailed monitoring tools: steps, token usage (input/output), run times, etc., so you can always analyze and know what’s happening

Right now, most agentic solutions are black boxes,you just hope the output’s good. With Rerun, we’ve got agents you fully control

 Curious: for teams that need strict compliance or audit trails, what controls and visibility does Rerun provide around who can create/approve agent actions, how long activity logs are stored, and how easy is it to export those logs for audits? Also; what’s the simplest example you’d recommend for a small team to try in the first 24 hours?

The part I'd actually care about is it stopping to ask before anything sensitive. Letting an agent send emails or move money on its own is the scary part, so having it wait for a yes first is what makes it usable. Congrats on the launch!

Thank you, man! It’s definitely possible. You can also create your own personalized widget that aggregates all the tasks requiring your approval in one place.

 Exactly, especially during the first automation runs. Even if the skill is accurate, it's not perfect on the first try. Making sure you’ve got control before critical phases is key for safety and for iterating to get an agent that truly fits the use case

Wow, this looks extremely powerful! Definitely have to check this out!

 Thanks Benny, we're super proud of the product, can't wait to get your feedback once you've tried it!

The hard part with always-on agents isn't watching them work, it's what happens after an approval. If a human approves step 4 and step 7 goes wrong, can you replay from the pause point with corrected context, or does the whole run start over?

 Totally agree.

Since the flows are unique, there's no way to "rollback."

However, the agent is smart enough to cancel changes if the user asks.

For example, with Rerun, any agent handling important processes has two key steps:

First, every critical or risky step requires user approval explaining exactly what it’s going to do. This ensures it hasn’t gone off track before taking action

Second, the agent notifies users once the step is done to confirm everything went smoothly.

If not, you can make it redo or cancel the changes

IMO the straight 'there's no rollback' answer is worth more than a polished one, most tools in this lane would have claimed replay works and hoped nobody tested it. QQ: when the agent cancels changes on request, is it walking back through the tool calls it made (voiding the invoice it created, deleting the record it wrote)? Congrats on the launch!

 Exactly, the agent knows what they’ve done which lets them undo changes (if possible)

That's why it's better for the agent to ask for approval BEFORE messing things up

one feedback, finding tools is slow, which i feel is not supposed to be, i feel you can fix that

 Hey Daniel, we’ll check it out right away, thanks for reporting it!

 great, because up till now is it still finding, i feel that will discourage some people Well done

watching every step is how you trust it early, but the real win is when you can stop watching. does the visibility taper as trust grows or stay always-on?

 You can keep track of and understand your agent throughout its entire lifecycle. If you ever have doubts, you can go check to ease your mind

The goal is to stay 100% in control of the agent, that’s the most important thing right now

Lads, really cool stuff.

Love the design taste - congrats on the launch!

if you ever want to send push notifications on human in the loop steps to your end users, consider trying Pushary, we integrate with all the latest and greatest agent frameworks with a single line.

 Thanks Aadil

This is on the roadmap very soon. For now, it's email notifications only, but we're adding in-app and push notifications super soon

Appreciate the recommendation, I'll check it out!

"Watch every step in real time" is the part I care about most, because the black-box complaint is real. When a step fails halfway through a run, can you fix it and resume from that step, or does the whole agent re-run from the top? Resuming from the failed step is what makes long runs actually usable, and it is the hardest part to get right.

 This is honestly one of the things we're always working on

The agent is super independent, if a step fails, it'll find a way to make it work one way or another (like switching APIs or something)

But if it gets stuck, you’ll get notified and can fix it with the agent

Rerun sounds aimed at a pretty wide set of use cases, from Marketing automation to Engineering & Development and Productivity. How do you think about helping new users choose the right starting point for their first AI agent? Is the product more template-driven by category, or does it guide people from a task description into an agent setup?

 One of the challenges with Rerun is that it's super flexible, so it can work for tons of use cases

We've put a lot of effort into a multi-step onboarding so you can run a 100% personalized agent without needing any tech skills

Feel free to try it out, would love to hear your thoughts

1234
Next